{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# The Lifecycle of a Plot\n",
    "\n",
    "\n",
    "This tutorial aims to show the beginning, middle, and end of a single\n",
    "visualization using Matplotlib. We'll begin with some raw data and\n",
    "end by saving a figure of a customized visualization. Along the way we'll try\n",
    "to highlight some neat features and best-practices using Matplotlib.\n",
    "\n",
    ".. currentmodule:: matplotlib\n",
    "\n",
    "<div class=\"alert alert-info\"><h4>Note</h4><p>This tutorial is based off of\n",
    "    `this excellent blog post <http://pbpython.com/effective-matplotlib.html>`_\n",
    "    by Chris Moffitt. It was transformed into this tutorial by Chris Holdgraf.</p></div>\n",
    "\n",
    "A note on the Object-Oriented API vs Pyplot\n",
    "===========================================\n",
    "\n",
    "Matplotlib has two interfaces. The first is an object-oriented (OO)\n",
    "interface. In this case, we utilize an instance of :class:`axes.Axes`\n",
    "in order to render visualizations on an instance of :class:`figure.Figure`.\n",
    "\n",
    "The second is based on MATLAB and uses a state-based interface. This is\n",
    "encapsulated in the :mod:`pyplot` module. See the :doc:`pyplot tutorials\n",
    "</tutorials/introductory/pyplot>` for a more in-depth look at the pyplot\n",
    "interface.\n",
    "\n",
    "Most of the terms are straightforward but the main thing to remember\n",
    "is that:\n",
    "\n",
    "* The Figure is the final image that may contain 1 or more Axes.\n",
    "* The Axes represent an individual plot (don't confuse this with the word\n",
    "  \"axis\", which refers to the x/y axis of a plot).\n",
    "\n",
    "We call methods that do the plotting directly from the Axes, which gives\n",
    "us much more flexibility and power in customizing our plot.\n",
    "\n",
    "<div class=\"alert alert-info\"><h4>Note</h4><p>In general, try to use the object-oriented interface over the pyplot\n",
    "   interface.</p></div>\n",
    "\n",
    "Our data\n",
    "========\n",
    "\n",
    "We'll use the data from the post from which this tutorial was derived.\n",
    "It contains sales information for a number of companies.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sphinx_gallery_thumbnail_number = 10\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "\n",
    "data = {'Barton LLC': 109438.50,\n",
    "        'Frami, Hills and Schmidt': 103569.59,\n",
    "        'Fritsch, Russel and Anderson': 112214.71,\n",
    "        'Jerde-Hilpert': 112591.43,\n",
    "        'Keeling LLC': 100934.30,\n",
    "        'Koepp Ltd': 103660.54,\n",
    "        'Kulas Inc': 137351.96,\n",
    "        'Trantow-Barrows': 123381.38,\n",
    "        'White-Trantow': 135841.99,\n",
    "        'Will LLC': 104437.60}\n",
    "group_data = list(data.values())\n",
    "group_names = list(data.keys())\n",
    "group_mean = np.mean(group_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Getting started\n",
    "===============\n",
    "\n",
    "This data is naturally visualized as a barplot, with one bar per\n",
    "group. To do this with the object-oriented approach, we'll first generate\n",
    "an instance of :class:`figure.Figure` and\n",
    ":class:`axes.Axes`. The Figure is like a canvas, and the Axes\n",
    "is a part of that canvas on which we will make a particular visualization.\n",
    "\n",
    "<div class=\"alert alert-info\"><h4>Note</h4><p>Figures can have multiple axes on them. For information on how to do this,\n",
    "   see the :doc:`Tight Layout tutorial\n",
    "   </tutorials/intermediate/tight_layout_guide>`.</p></div>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have an Axes instance, we can plot on top of it.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 10 artists>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.barh(group_names, group_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Controlling the style\n",
    "=====================\n",
    "\n",
    "There are many styles available in Matplotlib in order to let you tailor\n",
    "your visualization to your needs. To see a list of styles, we can use\n",
    ":mod:`pyplot.style`.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn-bright', 'seaborn-colorblind', 'seaborn-dark-palette', 'seaborn-dark', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted', 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk', 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'seaborn', 'Solarize_Light2', 'tableau-colorblind10', '_classic_test']\n"
     ]
    }
   ],
   "source": [
    "print(plt.style.available)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can activate a style with the following:\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's remake the above plot to see how it looks:\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 10 artists>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.barh(group_names, group_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The style controls many things, such as color, linewidths, backgrounds,\n",
    "etc.\n",
    "\n",
    "Customizing the plot\n",
    "====================\n",
    "\n",
    "Now we've got a plot with the general look that we want, so let's fine-tune\n",
    "it so that it's ready for print. First let's rotate the labels on the x-axis\n",
    "so that they show up more clearly. We can gain access to these labels\n",
    "with the :meth:`axes.Axes.get_xticklabels` method:\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.barh(group_names, group_data)\n",
    "labels = ax.get_xticklabels()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we'd like to set the property of many items at once, it's useful to use\n",
    "the :func:`pyplot.setp` function. This will take a list (or many lists) of\n",
    "Matplotlib objects, and attempt to set some style element of each one.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.barh(group_names, group_data)\n",
    "labels = ax.get_xticklabels()\n",
    "plt.setp(labels, rotation=45, horizontalalignment='right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It looks like this cut off some of the labels on the bottom. We can\n",
    "tell Matplotlib to automatically make room for elements in the figures\n",
    "that we create. To do this we'll set the ``autolayout`` value of our\n",
    "rcParams. For more information on controlling the style, layout, and\n",
    "other features of plots with rcParams, see\n",
    ":doc:`/tutorials/introductory/customizing`.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None,\n",
       " None]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\pcApp\\Anaconda3\\lib\\site-packages\\matplotlib\\figure.py:2267: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not compatible \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams.update({'figure.autolayout': True})\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.barh(group_names, group_data)\n",
    "labels = ax.get_xticklabels()\n",
    "plt.setp(labels, rotation=45, horizontalalignment='right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we'll add labels to the plot. To do this with the OO interface,\n",
    "we can use the :meth:`axes.Axes.set` method to set properties of this\n",
    "Axes object.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0,0.5,'Company'),\n",
       " (-10000, 140000),\n",
       " Text(0.5,0,'Total Revenue'),\n",
       " Text(0.5,1,'Company Revenue')]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\pcApp\\Anaconda3\\lib\\site-packages\\matplotlib\\figure.py:2267: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not compatible \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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BEAqcPXv2cOPGDdq3by8apG+MmFMSBKHAmDNnDv/++y+bNm2iRIkSjBgxIq+LJKhJNEqCIBQY06ZNQ0tLi6pVqzJlypQvjnMnfH1iTkkQBEHIN8SckiAIgpBviEZJEARByDdEoyQIgiDkG6JREoQC7P00CQWJqFfBJRolQRAEId8QjZIgCIKQb4hGSRAEQcg3RKMkCIIg5BuiURIEQRDyDRHRQSj0PD09sbW1Zc6cOdl6/S2Rrfs7r4sgfKFEH5O8LsJXJXpKQoGwdu1ajI2NldJQv3v3DiMjI5ycnJSOvXnzJjKZjOPHjwOwadMmJkyY8NnXjoqKQiaT8ezZs0z3z5gxA0dHxyzPkZCQwMCBA6levTr6+vrY2dnRo0cPKbW5IBQWolESCgRXV1fevHnD+fPnpW2///47ZcuW5caNGzx9+lTaHh0dTbFixWjQoAGQkRCuTJkyX73MChcvXsTNzY2//vqLuXPncubMGbZs2UKtWrUYOXJknpVLEPKCiBIuFAiVK1fGyMiIqKgoqVcSFRWFm5sbd+7cITo6mjZt2kjb69WrR/HixYG8HZ5LT0+nf//+VKpUiUOHDlGkSBFpX40aNejdu/dXL5Mg5CXRUxIKDBcXF6KioqTXUVFRODs74+zsrLQ9OjoaFxeXvCiiisuXL3Pt2jUGDx6s1CApyGSyPCiVIOQd0SgJBYazszPnzp3j7du3JCcn8/vvv+Pi4kKjRo2kRik+Pp5//vkHV1fXPC5thlu3bgFgbW2dxyURhPxBDN8JBYarqyvJycmcPXuW9PR0ypcvj4WFBfr6+iQkJPDo0SOioqIoWbIkdevWzeviAhnDd58re3HSSn72+YX8IT/Gw6tSpUqunVs0SkKBYW5uTsWKFYmOjiY9PZ1GjRoBUKpUKWrVqkV0dDTR0dE0bNiQokWL5nFpM1hZWQEZPTh7e3u13putPwzRYkn4ty43G4D8SAzfCQWKYl5JMZ+k4OzszIkTJ4iOjs43Q3cANWvWpFq1agQFBZGWlqayPzExMQ9KJQh5R/SUhALFxcWF7du3A7B06VJpe6NGjfDx8eHVq1e5tsjh6tWr6OjoKG2rUaMGAMnJyVy+fFlpX8mSJalcuTJLliyhTZs2fP/99wwfPpyqVavy5s0bIiMj2bVrF8eOHcuV8gpCfiQaJaFAcXFx4d27d5iYmGBhYSFtb9iwIUlJSZQtW5ZatWrlyrW9vLxUtt2/fx/IeDj2wx5arVq1OHbsGA4ODhw7doxffvmFYcOG8eTJEwwMDKhTp843GUVCEL6ECDMkCAWYCDP07StsYYZET0kQCrBzzm8K5ET59evXRb0KKLHQQRAEQcg3RKMkCIIg5BtiTkn4YnZ2dvj5+TFo0KAvOkbIeWJOScgpX2tuS/SUBMmXpH/4lKNHj9KnTx/ptUwmIyws7IvKe+zYMWQyWZY/ISEhX3SNT7l69SoymYz4+PhcvY4gFBZioYMgeT/9gyLS9ofpH/T09ADV9A+fonhfTnJyciIuLk56PXHiRO7cucOvv/4qbfvwuSGAtLQ0NDQ00NQU38kEIb8R/ysFyfvpHxQU6R9q165NdHS00vb30z8kJyczdOhQKlasiK2tLUFBQUrntrOzY9GiRdK/AXr27IlMJpNeAxw8eBA3NzcMDAyoWbMmU6dOVeq5vU9bWxsDAwPpp0SJEirbihcvzsqVK7G2tmbPnj3Ur18ffX197t27R0xMDF5eXlhYWGBmZoanpyeXLl2Szv/69WtkMhmbN2+ma9euGBkZUadOHamH9/r1a6kHWb9+fWQyGZ07dwYyGr7AwEBsbGzQ19fHxcWFyMhI6dydOnVi/Pjx0utRo0Yhk8m4du0aAHK5HHNzc/bv35+t350gFBSiURKUfG76h6VLl2Jra8vx48cZMmQIEyZM4OzZs5le4+jRowAEBQURFxcnvT58+DB+fn74+vpy+vRpFi9eTFhYGFOmTPnier148YJly5axZMkSYmJiqFChAv/99x89e/YkIiKCiIgILC0t6dixIy9fvlR674wZM+jUqRMnT56kadOm+Pv78/jxY0qVKsW+ffuAjMY0Li6OFStWAPDLL7+wevVqZsyYwcmTJ3Fzc6Nr167cuHEDINP7Wb58eWnblStXePnypRS/TxAKC9EoCUo+N/3D//73P/z8/LC0tKRfv35YWlp+dL5JMZSno6ODgYGB9Hru3LkMGjQIb29vLCwscHV1ZdKkSaxbt+6LomkDvH37lqCgIOrVq4e1tTUlS5akSZMmdOjQgSpVqlCtWjUWLlxIcnIyJ06cUHpvz549adu2LZaWlkyaNIm3b99y9uxZNDQ0KFeuHADly5fHwMAAmUxGeno6ixcvZvjw4bRp04YqVaoQGBhI9erVWbJkiXSfL1++zIsXL/j333+Jj48nICBAusfR0dFUr15d5FMSCh0xpyQo+dz0D9WrV1c6j6GhIU+ePFHr2rGxsVy4cIGFCxdK2+RyOUlJSTx69Ijg4GDmzZsn7Tt9+jQVK1bM1rlLly6t8lDigwcPmDZtGjExMTx9+pS0tDTevHkjhQbKrG4lSpRAR0dHKb36h/755x9evnxJw4YNlbY3bNiQ2NhYAOzt7SldujSnTp0iNTUVOzs7mjdvztKlS0lPTyc6OlopoGxmROoK4Wt6//MmUlcIX83npn/4MBWEhoaG2r0buVzOqFGjpLTl79PT06N37960bdtW2mZkZJTtc5csqfrHuU+fPqSmpjJ79mxMTEwoVqwYTZs2JSUlRem4zOoml8s/ei1FvTU0NFT2KbYVKVKEhg0bEhUVRVpaGi4uLtja2qKhocGVK1eIiYnB29s7yzqJ1BXC1/S1Ik2IRklQoZhXSk9Pp2vXrtL299M/DBgw4IuuUbRoUZVUDfb29sTHx2NpaZnpe3R1ddHV1f2i6yqkpaVx9uxZ1qxZQ5MmTQC4e/cuz549U+s82tra0vkUjIyMKFu2LDExMTg4OEjbT58+TZ06daTXzs7ObNu2DblczqRJk9DQ0MDJyYlly5aJ+SSh0BJzSoIKFxcXfv/9d86fP6+0mKFRo0bs3LmTJ0+efHH6BzMzM44fP86jR4+knEEjR45k+/btTJs2jatXrxIfH09YWBgTJkz4omtlpkiRIlhYWLBlyxauX7/O2bNn8fPzo0SJEmqdx8jIiKJFixIZGcmTJ094+fIlGhoaDBo0iLlz5xIWFsb169cZP348f/75J/3795fe6+zszJ9//sn169eloT5nZ2dCQ0PFfJJQaIlGSVChSP9QoUKFXEv/EBgYSFRUFNWrV5cauMaNGxMaGkp0dDSNGzemcePGzJ8/H1NT0y+61sesWLGCf/75B2dnZwICAggICFD7eapSpUoRGBjIsmXLqFq1Kr6+vgAMGzaMPn36MGrUKJycnDh27BhbtmyhcuXK0nsV80o1a9akTJkyQMa9T0tL++R8kiAUVCLMkCAUYCLMkJBTvlaYITGnJAgFmEhd8W0pqPVShxi+EwRBEPIN0SgJgiAI+YaYUxKEAkzMKQkfyu/p1UVPSRAEQcg3RKNUQHwqr1BAQECul8Ha2pqVK1fm+nU+tHbtWqW6VqxYkaZNm3LkyJGvXhZBEL6MWH1XQLyfV+jQoUMMHjxYaZsixcSHUlJSVMLofIt0dXU5ffo0AC9fvmT58uV069aN2NhYDAwMPuuc6enppKamqtyfgnLPBCE/Ej2lAuL9HEKKxHYfbouPj0cmk7F7925atGiBgYEBW7Zs4fHjx/j4+GBjY4ORkRGOjo6EhoYqnb9JkyaMGTOG8ePHY25ujrW1NVOmTJHivDVp0oTHjx8zcuRIZDKZUkOwc+dOGjRoQIUKFahRo4ZSwNUlS5YoRYc4ePAgMpmMZcuWSdt++OEHRowYkWX9NTQ0pLpWqVKFsWPHkpycrNQwb9q0CTc3N0xNTbG2tqZ37948evRI2h8ZGYlMJuPw4cO4ubmhr6/PyZMnmTRpEu7u7vz666/UrFkTfX19UlNTSUpKYsSIEVhZWWFgYMD333/PuXPnpPM1atRIpR7lypXj33//BTLSaZQvX17K4XT8+HH+97//YWxsjJmZGU2aNMlm0FVBKDhEo1QITZo0if79+3PmzBmaNm1KUlISdevWJSQkhJiYGHr37k1AQAAxMTFK7wsODqZs2bIcPnyYwMBAFixYIOUT2rZtG3p6ekyYMIG4uDiuXLkCwJkzZ+jTpw8dO3YkJiaGMWPGMHPmTNavXw9khNX5448/pD/UH+YVSk9P59SpU2pFOEhJSWHz5s2UKlUKW1tbaXtqaioTJkwgOjqa4OBgHjx4QL9+/TK9P5MnT+bs2bPUrFkTyHh+5MCBA2zcuJGoqCiKFCnCmDFj2L9/PytWrOD48eNYWlrSvn17KX7e+zmTFPXQ1dXl5MmTAJw6dYpSpUphZ2fH27dv6d69O+7u7pw6dYrffvuNvn37iuy4QqGj1vDdX3/9RbVq1XKrLMJXMmDAAFq2bKmyTcHX15ejR4+yc+dOKS06QM2aNaUei5WVFevWrePEiRN4eXmhq6uLpqYmpUuXVuolLV68mCZNmjB8+HAgI7vt9evXWbBgAT179sTOzg4dHR2io6Px8vIiOjqagQMHsnDhQuRyOdeuXeP58+efbJSeP3+OiUnGqqKkpCRKlCjBsmXLlMIG9erVS/q3ubk5s2fPxtXVlWfPnlG+fHlp37hx43B3d1c6f2pqKitWrJACwiYmJrJx40ZWr14tBXQNCgrixIkTrF27lhEjRuDs7MygQYOkesjlcn744QeioqJo2bIl0dHRODo6UqRIER4/fszr169p0aIF5ubmAFStWjXLOovUFcLnyIned75JXeHo6Ii9vT2dO3emffv26Ovr51a5hFxUu3ZtpdepqanMnTuXPXv28ODBA1JSUnj79q30x1bhc3ImxcfH07FjR6VtDRs2lBLqFS9eHEdHR6Kjo3F1deXq1auEhYWxbNkyrly5wunTp7GxsaF8+fK8fftWKYL4Dz/8wMyZM4GMhR6KhQ3//feflMW2bNmyUgNz/vx5Zs+ezZ9//kliYqKUfuLevXtKjdKH9wegUqVKShHKb968SVpaGg0aNJC2FS1aFAcHB2nI0NnZmRcvXkj1aNSoES4uLkyaNAnI6BV26NAByAjs2r59e1q2bImbmxtubm60adMGY2Pjj95bkbpC+Bz5PWKEWmMDs2fPRltbm7Fjx1K9enU6duzIjh07SE5Ozq3yCbngw9xCc+fOZfXq1fz444/s3buXqKioHMkrBBnDVh/LK6TYrhjmOnXqFLa2tshkMinTbXR0tJTCQVtbm6ioKOlH0fsC0NTUxNLSEktLS+zs7Bg6dCgODg4sWLAAyOjZtGvXDplMxsqVKzly5AhbtmwBUKlnZrmXPtyWnZxJurq62NraSvVwcXHB0dGR+Ph4EhIS+OOPP5Tm09asWUN4eDgNGjRg7969ODg4qGTBFYSCTq1GydfXl4iICC5evMiwYcO4desWffv2xdramgEDBoj/QN+o06dP07JlSzp27IidnR3m5ubcvHlT7fNoa2ur5EiqWrWqtCru/euZm5tTrFgxIKNRunbtGmFhYdIw3fsNlWKbhoaG1PBYWlp+MqJ3kSJFSEpKAjKGnl+8eMHkyZNxcnLC2tqax48fq11HhcqVK1OkSBGluqWkpHD+/HmlYbcP66GICj579mxpPul9tWrVYtiwYRw8eBAHBwdCQkI+u4yC8C36rFlUc3NzxowZw/nz54mIiKBz584cOnSINm3aUKNGDaZMmUJ8fHxOl1XIJZUrV+bw4cOcPXuWuLg4hg4dyj///KP2eSpWrMjJkyd58OABz58/B2DQoEFERkbyyy+/cPPmTTZv3syKFSsYMmSI9D7FvNK2bduknoOzszORkZHZmk+CjJ7Lo0ePePToEbdv32bVqlVER0fTokULIGP4rWjRoqxYsYLbt29z4MABZs+erXYdFWQyGT169GDcuHEcPnyYv/76i8GDB/Pq1St8fHyk4xT1AKRFF4qcSYr5JMgY5586dSpnz57l7t27HDt2jLi4ODGHKxQ6X7y0p0aNGtSvX5/q1auTnp7OkydPWLp0KQ0bNqRz587cv3/G8YDCAAAgAElEQVQ/J8op5KIxY8ZQvXp12rZtS8uWLalQoQKtWrVS+zzjx4/n5s2b1KpVCxsbGwDq16/PmjVrCA0NpWHDhkyfPp3Ro0fTs2dP6X2ampo4OTkBSAsrqlatip6enjSf9Cn//vsvVatWpWrVqjRs2JBVq1YxceJEBg0aBGTM2SxevJgdO3bQoEED5s+fT2BgoNp1fN/06dNp3rw5fn5+uLm5cfPmTXbs2KFUXmdnZ+RyOY0aNZKG9TLLmVSqVCmuXbtGjx49qFu3LoMGDaJHjx5KSQEFoTD4rNh36enpHDt2jJCQEPbv389///1HrVq16Nq1Kx06dKBIkSJs3bqVWbNmYWNjIy0bFgTh6yqoqRBEvQoutVbfXblyhZCQEHbs2MGjR48wNDSkT58+dO3aVWX5qp+fHxoaGowbNy5HCywIgiAUXGo1Sq6urpQoUQJPT0+6du2Ku7t7lg/3Va1alXr16n1xIQVBEITCQa3huw0bNtC2bVvKlCmTm2USBCGHiNQVQk76Gmkv1Fro0KNHD9EgCd+8GTNmKEWqEAQh/1A7SnhaWhpHjhzh9u3b/Pvvv9JDhAoaGhqMHDkyxwooCAoBAQE8f/5c6dmd8PBwfHx86N+/P+PHj8/D0imTyWSsX7+e1q1b53VRBOGbolajdPnyZby9vbl//75KY6QgGiXha9m6dSuDBw9m8uTJXyVflCAIuU+t4bvhw4fz+vVrNm7cSEJCAv/++6/Kj+KhSUHITcuWLWPw4MEEBQUpNUgBAQF07txZ6dhPDddduHCBtm3bYmlpScWKFWnWrBlnz55VOmbdunU4ODhgYGCAlZUV7dq1IzU1Ndvllclk/Prrr/Ts2RNjY2Ps7e1VojU8fPgQX19fLCwsMDIywtnZWURJEQodtRqly5cvM2TIEDw9PZHJZLlVJkHIUmBgIFOmTGHjxo106dLli8/36tUrOnfuzMGDBzl8+DB2dnZ07NhRSkFx8eJFhg8fzqhRozh37hy7d++mcePGal9n9uzZtGjRgujoaNq1a8fAgQO5e/cukBFE1tPTk7t377Jp0yZOnTolRhyEQkmt4Tt9fX20tESyWiHvHD16lEOHDhESEsL333+fI+d0c3NTej179mz27NlDZGQknTt35t69e5QqVYrmzZtLC30+jFmXHZ07d5Z6cT///DPLly8nJiYGMzMztm/fzuPHj/ntt9+kiBAWFhZZnk+krhC+NsVnLt+krvDz82Pr1q34+fmJdNBCnrCxseHly5fMmjWLBg0a5EiP/cmTJ0ybNo2oqCiePHlCWloaSUlJUogsDw8PTE1Nsbe3p3Hjxnh4eODl5aX2StT3U39oaWlRvnx5KfXH5cuXqV69erZCKimI1BXC1/Y1ok2o1SgZGxujpaWFo6Mj3t7emJqaSgEl39e2bdscK6AgvM/Q0JAtW7bQqlUr2rRpw+7du5UaJk1NTZVFOJ+a+wkICODx48dMnz4dMzMzihUrRqtWrXj37h0AZcqU4cSJE5w8eZJjx44xf/58pk6dypEjRzAyMsp22TNL/aEo68cWDglCYaNWo9SnTx/p35MnT870GA0NDdEoCbnK2NiYffv20apVK1q1asXu3bspV64cAHp6elIqdoUPX3/o9OnTzJw5UxoOfPz4MY8ePVI6RktLS0q+N2bMGCpXrsyhQ4eUstl+CXt7e0JDQ1Wy4ApCYaNWo7R3797cKocgqMXQ0JB9+/bRunVrvLy82LNnD+XLl8fV1ZWFCxeyceNGGjVqxN69ezl9+rSUKj0zVlZWhIaGUrduXd68ecOECRPQ1taW9oeHh5OQkICTkxO6urpERUXx+vVrrK2tc6w+HTp0YP78+XTv3p0JEyZgbGzM1atXKV26NK6urjl2HUHI79RqlLKT10YQvhZ9fX327t0rNUxhYWE0btyYUaNGERgYSFJSEh07dqRv374cPHjwo+dZvHgxQ4cOxd3dHUNDQ0aPHi2tvAPQ0dFh//79zJ49m6SkJCwsLAgKCpLSbeSEUqVKsX//fsaNG0eXLl1ISUmhcuXKTJ8+PceuIQjfgs9KXSEIwrehoKZCEPUquNRe3/3kyRM2btzIpUuXePHiBXK5XGm/hoYGe/bsybECCoIgCIWHWo3SX3/9haenJ//99x9WVlZcu3aNatWqkZiYyMOHD7GwsMhy7F4QBEEQsqLW8F2XLl24dOkS4eHhlClThsqVK7N7927c3NzYvn07I0eOZOfOndSqVSs3yywIQjaJ1BXftq+RKiK/USvMUExMDD4+Ppibm0vJ/RTPV3To0IF27drlq0jNgvAtMzExITg4OK+LIQhflVqNUkpKivSwYPHixQF48eKFtN/Ozo6LFy/mYPGEwiazgKrh4eEYGRkxderUPCpV9t25cweZTPbR/wcil5MgZE2tRsnU1FQKIFmiRAkMDQ2VoilfvXqVUqVK5WwJhUJt69at9OjRgwkTJoheuCAUAmo1Si4uLhw4cEB63bFjR1asWMGgQYMYMGAAa9asoUWLFjleSKFw+lh6CrlczuzZs6levTr6+vo4OTmxf/9+pfc+ePCA3r17U6lSJSpVqkSnTp24efOmtF/RY9mwYQM1atTA0NCQbt26KT2fpOi1zZkzhypVqmBiYkL//v1JSkr6rPoEBwcza9Ysrl27hkwmQyaTScNzt27dwtPTEwMDA+rWrUt4ePhnXUMQvnVqrb4bOnQorq6uJCcnU7x4cX7++WdevnzJrl27KFKkCJ07d/4mhliE/C8wMJAlS5awceNGlWjgy5YtY9GiRcybN4/atWsTEhLCDz/8wLFjx6hZsyZv3rzBy8uL+vXrs3//frS1tVm0aBGtW7fm7NmzlCyZETn77t27hISEEBwcTFJSEkOHDmXAgAFs3bpVutbJkycpXrw4YWFhPHz4kIEDBzJx4kRmz56tdp3atWvHtWvXOHToEPv27QOgbNmyyOVyvL290dHRISIigqSkJEaPHs3bt2+/4A4KwrdJrUapYsWKVKxYUXpdrFgxFixYwIIFC3K8YELh9an0FIsXL2bgwIF07NgRyEgDcerUKRYvXszKlSvZsWMH6enpLF26FA0NDQAWLFggxatTxGZMSkpi+fLl0md6/vz5NG/enJs3b2JlZQVkBHhdsmQJpUuXxtbWlkmTJjFo0CAmTpyo9lB1iRIlKFWqFFpaWhgYGEjbjxw5wl9//UVsbKxUlhkzZtC8eXM175wgfPu+KDnSq1evANQO4S8IWckqPcXLly95+PAhDRs2VHqPo6MjERERAMTGxnLnzh1MTU2Vjnnz5g0JCQnSa2NjY6UvWXXr1kVTU5O4uDipUapevTqlS5eWjqlfvz7v3r0jISGBGjVq5Eh94+LiPlqWrIh8SgVf9n7HX1++yacEGWPfM2fO5LfffpNW3uno6NC0aVNGjhxJ5cqVc7yQQuHyqfQUH6PoFcnlcuzs7Fi7dq3KMbq6ujle3i/1uWkrRD6lgq8whhxSa6HD+fPncXd3Z9euXdSvX5+AgAD8/f2pX78+u3btwsPDg99//z23yioUIor0FG/evKFVq1Y8f/4cyJiDMTIy4vTp00rHx8TEULVqVSAjDcStW7coV64clpaWSj/vN0oPHjyQEvlBxudbLpdL54GMFaX//fef9PrcuXNoa2t/Mivsx2hra5OWlqa0rVq1ah8tiyAUNmr1lEaPHk3p0qU5evSoNLyhcOPGDby8vBg7dqw0jCIIX+Jj6SkGDRrEjBkzsLKyolatWoSEhBATE8OxY8eAjFWhixYtolu3bowdOxZTU1P+/vtvDhw4QO/evaXPbokSJQgICGDatGkkJyczbNgwvv/+e6XPdlpaGgMHDmTkyJH8888/TJ48mZ49e35yPunGjRsqCTCtra0xMzPj3r17XLp0iYoVK1K6dGnc3d2xtrbG39+f6dOnk5yczNixY9HS+qLRdUH4Jqn1qf/jjz8YMWKESoMEULlyZfr27cvcuXNzrHCCkFl6Cn9/f16/fs3EiRN5/PgxVapUYcOGDdSsWROAkiVLcuDAASZNmkSvXr14+fIlhoaGuLi4KA0DmpmZ0b59e7p27cqzZ8/w8PBg0aJFStdv1KgR1apVw8vLi6SkJLy8vD6a4PJ9vr6+KttOnTpFq1atpPq8ePGCJUuW0L17dzZt2sTgwYNp0qQJpqamBAYGZnoOQSjo1Ip9Z29vj4+PD0OHDs10/4IFC/j111+5dOlSjhVQEHLDjBkz2LNnDzExMR89JiAggOfPnxMSEvIVS5azROy7b1thjH2nVk9pwIABBAUF0aFDB5WVTXfv3mX16tUMGTIkRwsoCMLnO+f8pkBOlhfUvEMFtV7qUKtRSkpKQkdHh7p169KiRQssLS0BuHnzJuHh4VhZWfHmzRsWLlwovUdDQ4PBgwfnbKkFQRCEAkmt4bvPWU6roaEhrZwSBOHrKqjfvEW9Ci61GiVFMFZ1mZmZfdb7BCG7oqKi8PLy4ubNm5QvX17ldWEl5pS+PYVxHul9aj2nZGZm9lk/QuGVV6koGjRoQFxcHOXKlcu1ayjIZDLCwsIy3RcVFYVMJlMK9PqhV69eERgYSIMGDTA0NKRKlSp4enqyfft28aySUOiIByGEr2rr1q0MHjyYyZMnK0X+zmna2tpK8eXyq8TERJo3b05iYiI///wzDg4OaGtrExMTw5w5c6hXrx6VKlXK62IKwlejVk8J4MCBA3Tt2hVHR0dsbGyoVq2a0o+NjU1ulFMoAD6WigJg06ZNNGjQAAMDAxwcHFiyZIlSL+HFixcMGTKEypUrY2pqSosWLbJMKPlhDyU4OBgTExOOHz+Oo6MjxsbGtGzZktu3byu9b968eVKain79+jFz5kzs7Oxy7iZ8YOrUqdy5c4fIyEi8vb2xsbHBysoKb29vjh8//k00rIKQk9TqKc2aNYtZs2aho6NDjRo1pNV3gvApWaWiWL9+PdOnT2f27NnY29tz7do1hgwZQtGiRfHz8yM9PZ3OnTtTtmxZQkJC0NXVZfPmzbRq1Ypz585haGiYrTK8ffuWefPmsXjxYooVK0ZAQADDhg1j586dAOzYsYNZs2YxZ84cnJyc2LNnDwsWLEBHRyfH7wdkxOjbsWMHHTt2xMREdR5Bkd1ZEAoTtRqlVatW4ebmxtatWylWrFhulUkoYD6VimLOnDlMnjyZ1q1bA2Bubk5CQgJr1qzBz8+PEydOcOXKFW7cuEGJEiUAGDduHOHh4YSEhGT72bjU1FTmzp0rrW5SJKeUy+VoamqyfPlyunXrRo8ePQAYNmwYUVFR3LhxIydug4pnz56RmJiItbV1rpxfEL5FajVKKSkptGrVSjRIglqySkXx9OlT7t+/z48//shPP/0kbU9NTZWiZ8fGxvLmzRuVCPTJyclKqSg+pVixYkrLbQ0NDUlJSeHFixfo6uoSHx8vNUgKDg4OudYofW50cAWRuqJgyq/pKt6Xb1JX/O9//+PixYv4+PjkVnmEAiirVBSKeaN58+bRoEGDTN8vl8vR19fn4MGDKvvUyeX1YYDT91NdfLjta9DT00MmkxEfH/9Z7xepKwqmwv6ckloLHebMmcPFixeZOXMm9+7d++JvekLh8bFUFPr6+hgbG5OQkKCSZkIxZ2lvb8/jx4/R1NRU2V+hQoUcK6O1tTUXLlxQ2vbh65ykqalJu3bt2LZtG3//rdp4JCcnk5ycnGvXF4T8SK2ekp6eHu3bt2fKlCnMnj0702M0NDSyfCZDKLw+lopi9OjRjBw5Eh0dHb777jtSUlKIjY3l4cOHDBs2DHd3dxo2bEi3bt2YPHkyVapU4fHjx0RGRuLu7o6Tk1OOlM/f358BAwZQu3ZtnJyc2LdvH7///nu2EgzevXuXy5cvK20zNzeX/n316lWVBRM1atRgwoQJREdH06RJE2lJeLFixTh79iwLFiwgJCRELAkXChW1GqVJkyYRFBREpUqVcHBwoGzZsrlVLqGAyiwVRY8ePShZsiRBQUFMmTKF4sWLY2NjI6Vu0NDQIDQ0lMDAQIYMGcKTJ0/Q19enQYMGdO3aNcfK1r59e27fvs3kyZNJSkqiZcuW9O7dmwMHDnzyvePHj1fZtnXrVinvkpeXl8r++/fvI5PJ+O233wgKCmLhwoXcvXuXMmXKULVqVUaMGKGUIl0QCgO1wgxZWlri5OTEpk2bcrNMgpBvdO/endTU1G82fYUIM/TtKexhhtTqKcnlcho3bpxbZRGEPPXmzRvWrFlDkyZN0NLSYs+ePRw4cIANGzbkddE+m0hd8W35Flbe5Ta1Fjo0b96c6Ojo3CqLIOQpDQ0NIiMjadGiBa6uruzcuZMVK1ZkOvQmCELuUKun9NNPP9G7d2+GDBnCDz/8gKmpKUWKFFE5LidXRAnC11KiRImPBlYVBOHr+Ox8Slk9zyHyJwlC/iDmlAq+gjYHpVZPaeTIkV/14UJBuHjxIh4eHsTGxn6VpdEiL5Mg5C21GqUxY8bkVjmEb1xAQADPnz/Pt6vUPD09sbW1Zc6cOUrbw8LC6NmzJ4mJicDXzcP0oTt37mBvb8/Ro0epXbv2V7++IOQHaqeueN+rV6949epVTpVFKMTevXuX10UA/j8P09ceEcgv9ReEvKZ2o3T37l369euHpaUllSpVolKlSlhaWuLv7//Z6dKFgudT+ZFkMhmrVq3C29sbY2NjpkyZAkBkZCT16tXDwMCA5s2bZxoM9cyZM7Ro0QIjIyNsbGwYNmwYL1++zJFyfypTrCIv08GDB3FwcMDAwCDTvEwHDx7Ezc0NAwMDatasydSpU5UaHjs7O2bMmMGAAQMwMzPD19cXe3t7ADw8PJDJZHh6euZInQThW6JWo3T9+nXc3d3Zvn07tWvXxt/fn379+lGnTh22bduGh4dHrkVUFr4d69evZ+rUqYwdO5YzZ84QGBjIwoULWb16tdJxs2bN4rvvvuPUqVP07duX+/fv0717d9zd3YmKisLPz4+JEycqvefPP/+kXbt20uMJGzdu5MqVKwwcOPCr1e/t27fMmjWLJUuWEBERQVpaGt27d5diQR4+fBg/Pz98fX05ffo0ixcvJiwsTGp4FZYuXYq1tTXHjh1jwoQJHDlyBMjI6xQXFyceUhcKJbXmlCZPnkx6ejpHjx6lZs2aSvuuXLlC69atmTx5Mhs3bszRQgrflk/lR1Jo27atUqqIKVOmYGpqyuzZs9HQ0MDa2pobN24wbdo06ZigoCDatm3LoEGDpG2//PILrq6uPHnyJMvHEX799Vc2b96stC0tLU3t+qWmpjJz5kwaNmwIwIoVK6hVqxbHjx/H3d2duXPnMmjQILy9vQGwsLBg0qRJ9OvXj6lTp0pDg05OTkq5oO7cuQNAuXLlspVxVqSuECBvHrjNN6kroqOj8ff3V2mQIGM4wtfXlxUrVuRY4YRvT3byIyl8OJkfFxdH3bp1leZz6tevr3RMbGwst27dYteuXdI2xXkTEhI4evQoP/74o7Rv27ZtUsDWtm3bMnr0aKXzRUZGMnLkSLXqqKmpiYODg/TazMwMIyMj/vrrL9zd3YmNjeXChQssXLhQOkYul5OUlMSjR4+kTLlfuphBpK4QoOClulCrUXr37l2WQVh1dHTEhG0hl538SAqKYKUK2UmFIpfL6dGjB/3791fZp5hjqlu3rtI2BR0dHSkdhkJ2eiTqksvljBo1ijZt2qjs09PTk/79Yf0FQVCzUbK1tSUkJAQfHx8pLbXC27dvCQkJwdbWNkcLKHxb3s+PpG4E72rVqrFnzx7S09Ol3tK5c+eUjrG3t+fatWsqjcv71En89znkcjkXLlyQGt179+7x8OFDqlatKpUxPj4+yzJmRltbG/i8IUVBKCjUapSGDRuGt7c3Hh4e9OnTR+o2xsfHs3btWq5fvy4mZ4VP5kf6GB8fHxYvXszo0aPp27cvV69eZd26dUrHDBkyhKZNm/Ljjz/Sq1cvypQpQ3x8POHh4SxYsCC3qwZkZLAdM2YMM2fOpHjx4owdO5Zq1arh7u4OZDxk3rlzZypWrEjbtm3R0tLi2rVrnD9/XmWxw/sqVKhAiRIlOHz4MGZmZhQrVkwlB5MgFHRqrb5r0aIFK1euJDExkZEjR9KuXTvatWvHqFGjSExMZOXKlTRv3jy3yirkY3K5XIqD2KNHDxYvXkxISAjOzs40b96c9evXfzIiQ8WKFdm4cSOHDx/G2dmZpUuXqqy+q1GjBgcOHODu3bu0bNkSZ2dnpkyZ8lXjLRYrVoyffvoJf39/mjRpglwuZ9OmTVLvrnHjxoSGhhIdHU3jxo1p3Lgx8+fPx9TUNMvzamlpMWvWLDZu3Ei1atXo1q3b16iOIOQrasW+U0hNTeXSpUvSc0lmZmbUqlULLS21Ol5CAdK2bVssLCyYN29eXhclVwUHBzNy5MhM05fnRwU5xYOoV8H0Wa2IlpYWdevWVZpQFgqnZ8+ecfr0aU6ePImPj09eF0cQhG/cJ4fvHj16RL169Zg6dWqWx02dOpX69evz9OnTHCuckP/16tWLkSNHMnjwYJF3SBCEL/bJ4bvJkyezYcMGLl26lOWqppcvX1K7dm169+7Nzz//nOMFFQRBfSJ1RcFX0FJXfLKnFBERQbt27T65zLZs2bK0b9+egwcP5ljhMmNra8vSpUtz7fyBgYE4Ozvn2vnzmw0bNmBmZpYn154/f36eRsP+8ccfpagTgiDkD59slBISEqhRo0a2Tla9enVu3bqVrWMDAgKQyWQqP5cvX87yfSdOnKBXr15AxoILmUzGvn37snXNrykwMFCqU7ly5bCxscHPz48HDx7kddG+ST/99BPlypUTjxwIQgH3yUZJQ0NDKbpzVuRyuVoh/93d3YmLi1P6+djDt4pIEXp6epQs+W3E87KxsSEuLo4///yT1atXc+XKFfr06ZPXxfrmJCUlsX37doYOHZrv4iqmpKTkdREEoUD5ZKNkZmbG+fPns3WyCxcuqDUUVKxYMQwMDJR+FMvKmzVrxogRIxg7dixWVlZSGP/3h+8UMfi8vb2RyWTSUNDdu3fp0qUL5ubmGBkZUb9+fXbv3i1d9++//6ZPnz5YWFhgZGSEq6sr0dHRSmULDQ3F3t6eihUr4u3tzb///pvteikUKVIEAwMDjIyMaNSoEd7e3pw+fZr//vtPOiaz4chmzZopxWgLCwvDyckJQ0NDzM3N8fT0lBaUfKqu9+/fp1evXlSqVAlzc3M6d+5MQkKCWvUICgrCyckJY2NjbG1tGTp0KC9evJD2K4YAjx49SoMGDTA2NsbLy0sllcm8efOoUqUKpqamBAQE8ObNm2xdPywsjMqVKzNs2DD++OMP4uPjlfYrhlyz+p2lpqYyZswYzMzMMDc35+eff1b5siWXy5k3bx729vYYGhri5OTE9u3bpf23bt1CJpOxc+dOWrZsiYGBARs3biQxMRFfX1+srKwwMDCgVq1arFy5Unrf3bt36dq1KyYmJlSsWJEffviBhw8fqlV+QSgsPtkoff/99+zYsUPlD8GH4uPj2b59O82aNcuxwm3ZsgUtLS3Cw8NZvHixyn5FqP8lS5YQFxdHZGQkkBF5IiUlhX379hETE8O0adOkmH2vXr2iRYsWPHjwgM2bN3Pq1CmlwKEAt2/fZu/evWzevJlt27Zx8eJFpUjVn+Off/5h3759FClSRHrINDsePHhAnz598Pb25syZMxw4cICOHTtK+7Oq6+vXr2nZsiWlS5dm//79REREUL58eVq3bk1SUlK2y6CpqcnMmTM5deoUK1as4MyZMypZiJOSkli4cCHLli3j0KFDPH/+nOHDh0v7t23bxsyZMxk3bhzHjh3D3Nyc5cuXZ+v6GzZsoFOnTpQuXRpPT082bNigcsynfmcLFy4kODiYRYsWERERQXJyMjt37lQ6x+TJk9m6dSvz5s3j9OnTDBkyhEGDBkmfK4VJkybh5+fHmTNnaNasGVOmTCE+Pp5t27Zx7tw5goKCpJh6crmcLl26kJiYyP79+9m9ezd///03P/zwg1Ksv9z4zAnCt+iTzykNHDiQTZs24eXlxbRp02jTpo3SQ7Kpqans3r2bcePGUaZMGbXy2kRGRmJi8v8rRxwdHZW+mVpYWGQZlkUR3FJHR0cpsOa9e/fo2LGjNBdmbm4u7QsNDeX58+ccO3YMXV1d6Trvk8vlLF26VFrc8cMPP7Bjx45s10vh6tWrmJiYSBGiAQYMGEDx4sWzfY6HDx+SmppKmzZtMDY2BlAa4syqrtu3b6do0aIsWrRIGlYNCgrC0tKS3377jVatWmWrDO//Ts3NzZk4cSI+Pj4sWbJEOm9KSgrz58+X7uWAAQOUQgotW7YMb29vevbsCcCoUaM4ceLEJ+fYbt68yblz56SGqEuXLlKepaJFi0rHfep3tmzZMoYNGyYtbJgzZw6HDx+W9r969Yrly5ezd+9eKTK5ubk5v//+O6tXr6ZJkybSsQEBAUr37t69e9jb21OnTh0ApdGCw4cPExcXR2xsrBTRYdWqVdStW5fo6GhcXFyyVf7MiNQVAhTC1BV6enps27aN7t274+fnx+DBg6lcuTKlS5fm9evX3Lhxg+TkZIyMjNi6dSvly5fP9sWdnJyUwvt/+Mf6c1dm+fv7M2LECCIiInB1dcXLy0vK6nn58mXs7OykBikzZmZmSqsNjYyMePLkidrlqFKlClu2bOHt27fs3buX8PBwxo0bp9Y57O3tcXZ2pkGDBnh4eODh4UGrVq2k+5xVXS9dusStW7dUwtu8efNGJVNqVo4dO8a8efO4fv06r169Ii0tjaSkJJ4+fSqF9ylZsqRS425kZERycjIvX76kbNmyxMfH4+vrq3TeD4caM7Nx40b+97//SV9A3NzcKFq0KAcOHFBaOZfV7+z58+c8ffqUevXqSfsV6ScUw6DXrl3j7du3tG3bVun6Kcfek/oAACAASURBVCkpKoFVP/xc9unTBx8fHy5cuICHhwfNmjWjUaNGQEY6DhMTE6XfgZWVFRUqVCAuLk5qlD7nMydSVwhQSFNX1K5dm5iYGNatW0d4eDhxcXG8evWKMmXKULNmTZo3b06vXr3UDh5ZsmTJLCMpf+6CBh8fH5o2bcpvv/3GsWPHaNq0KSNGjGDEiBHZSo/wYbgkdRZ7vK9o0aJS/WxsbLhx4wYjR45k0aJF0jGampoqZXp/8lxLS4u9e/dy9uxZjhw5wrp165g0aRIHDx7E1tY2y7rK5XJq1arFqlWrVMpWrly5bNXh9u3bdO7cmd69ezN+/Hh0dXW5cOECfn5+SmlKMrtnwGfdN4XU1FS2bNnC48ePlb7syOVyNm7cqNQoZfU7y25KDICQkBCpR6rwfo8MVD+XzZo148qVK9LvoGPHjnTo0IGgoCCliOcfen97Tn3mBOFbl+2ArDo6OgwdOpTw8HASEhJ4+vQpCQkJhIeHM2TIkDyJZqyYn8ks1L+pqSk+Pj6sX7+ekSNHsn79eiCj5/HHH3/kySTyqFGj2Lx5M1euXJG2lS9fnkePHkmvk5KSVFLKa2ho0KBBA8aMGcPx48epUKGCUpK7rOp68+ZN9PT0sLS0VPqRyWTZKvOFCxdIS0tj2rRp1KtXj8qVKytN0meXtbU1v//+u9K2D9NSfOjQoUO8evWK48ePExUVJf1s3ryZI0eOcP/+/Wxdu3z58ujp6SldX5F+QsHGxgZtbW3u37+vcq8qVqz4yWvo6enRtWtXVqxYwYIFC9i0aRMpKSlUq1aN+/fvK5X15s2bPHnyREp1IQjC/1MrSnh+o6GhgampKSdOnODRo0ckJiYCMGLECA4fPszt27eJjY3l8OHD0h+ATp06IZPJ6NatGzExMdy+fZt9+/aprL7LDVZWVnz33XdKE9iurq6EhIRw8uRJrl27xoABA5S+IZ85c4ZffvmFixcvcu/ePfbt28eDBw+oVq3aJ+vauXNndHV16datG6dOneL27dtER0czZsyYbA/fWVpakpqayvLly7l9+zahoaFKK8uyy9/fn02bNrFhwwZu3LjBnDlziI2NzfI9GzZs4LvvvqNmzZrY2tpKP82bN8fc3Jzg4GC1rj9//nz27NlDfHw8o0aNUgqJpaOjQ//+/Rk7dizBwcEkJCQQGxvL6tWrM11Y8b7AwED279/PzZs3+euvv9i3bx9WVlYULVqUxo0bU7VqVXx9fbl06RIXLlzA19cXBweHQvWQtiBk1zfdKAFMmzaNo0ePUr16dTw8PICMb8HDhw+nQYMGtG/fHmNjY5YsWQJkJIDbv38/+vr6dO7cGScnJ+bMmaPW81XHjh1DJpMRExOjdnkHDhxIeHi4tMz+p59+wsnJia5du9K+fXtcXFyoXr26dHzZsmU5deoUHTt2pG7dukycOJExY8bQvn37T9a1dOnSHDx4EFNTU3r06EH9+vUZMGAAr1+/znbPtlatWkybNo1FixbRsGFDNm/ezOTJk9Wud6dOnRg+fDhTpkzBzc2N69ev069fv48e//Dh/7V331FRndvDx7/0UAQ0AaQERETEiooi126UoNgCutBgwFhiuWABa1Dx2iO2a4l6FYGowZALiIndeFHM1Wj8majRBA1RxBYVS0Tp8/7hy1wnoAJiZgb3Zy3Xcs4cDvtB12ye8+zz7OscOHDgmTsu9O/fn61bt1bo1hzAhAkTCAwMJDQ0lO7du6Onp1dm/SgqKopJkybxz3/+k7Zt2+Lv78/OnTtf2HLDwMCAOXPm0KFDB3x9fcnPz+fzzz8Hntye3bZtG5aWlvj5+dG3b1/s7e017nkrITRFlVpXvO7i4+NZsGABJ06ceG57eCHUraa2QpBx1VxaP1NSh3379jFnzhxJSEIIUc2kK18VVGYtQwghRMXJ7TshajBpXaHdalpbioqQ23ca5KOPPuL9999/Jdcu3betdBf2F73WJG3atCE6OvqVXf9V7jZfkdYg6m7hIYQmea2TUlXbZ7wq0dHRle4V9axEduLECSwtLbl69clvyk5OTs/dhV2bFRcXs2zZMtq2bYutrS316tWja9euVSpdr24DBw6s8IbGpV7lLydCaLrXfk2pS5curF+/XuXYs7ZKKigowNDQ8JXF8iofQC7dsbwmmj9/Pp999hnR0dG0bNmShw8f8uOPP1bpId/qZmxsjLGxsbrDEEJrvNYzJaha+4yKtnLYs2cPnp6e2Nra8v777/PgwQNSUlJo2bIljo6OjBkzhry8POXX/ZW3716koKCAyZMn4+bmhrW1NU2aNGHu3LnPPP/27dsMGzaMxo0bY2tri7e3NwkJCSrn+Pr6MmXKFKKionB2dsbV1ZWoqCiVh4V///13Bg0aRN26dWnWrJnyeZ/n2b17N8OHD+e9996jXr16NG3alKCgIJVdygG2bNmCt7c3NjY2NGzYsMzmwTk5OXzwwQfY2dnh4eFRbtuKlJQUevbsSd26denUqRPnz5/n7NmzdO/eHTs7O3r27KnSsqO823fPa+Exb948EhMT2bVrl3LmXpXn4YTQVq99UnqR8tpnVLSVw/r169m4cSMpKSl8//33hISEkJiYyJYtW9i8eTM7d+4kNjZWHcN6oU8//ZTdu3cTGxvL999/T0xMzHP3KXz8+DEtW7Zk27ZtHD16lJEjRxIWFkZ6errKedu2bcPY2Jj9+/ezcOFCVq1axY4dO5Tvjxo1iqysLHbs2MHmzZvZvHmz8hbks1hbW5Oenv7cDUw3bNjApEmT+OCDD/j222/54osvymzz88knn9C3b1+OHDlCnz59GDt2bJnvvXDhQiIiIjh8+DCmpqYMHz6cadOmERUVxYEDB3j48GGZ/wtPe1ELjwkTJtC3b1+6d++ubHzp6en53PELUZO89rfvqtI+o6KtHJYtW6bcOdvf35+NGzdy4cIF5Q7lvr6+pKenM2bMmJcaw969e1XGAC+3ESo8acfg6uqKt7c3Ojo6ODo60q5du2ee//bbbxMWFqZ8PWzYMNLS0khOTlbuhA3QpEkTZQPDBg0aEBcXx6FDh+jfvz8///wz//nPfzhw4IDyg3jt2rUvLAJYsGABQ4cOxc3NDTc3N9q0aYOPjw9+fn7o6OigUChYsmQJoaGhjB07Vvl1f77u4MGDlb2qZs6cyfr16zl27Jhy9wxAuSMEPGnPMWTIED7//HPlGEeOHPncneBf1MLDzMyMN954g6KiohfebpXWFTWfOtpSVIRaW1fUdFVpn1GVVg7W1tbUrVtXpWWGlZVVpVpIPEvHjh1ZtmyZyrEzZ84oP/iqIigoCH9/fzw9PenWrRs+Pj6888476OqWP7kuKipi2bJlbN++nevXr1NQUEB+fr5y66dST2+hBKotGn755Rf09fVVfub16tXD2tr6ubE2adKE7777jlOnTnH06FH++9//EhwcTI8ePdi2bRs3btzg5s2bdOrU6bnXKe1JBWBoaMibb75ZZvb19DmlcT1dPGJlZcWDBw+euf5Y1RYe5ZHWFTXf67i7w2uflCrbPuNlWjn8uQVCdbUnKG8Md+7cealrtmrVitOnT/PNN99w+PBhPvroI1q2bElSUlK5+wSuWLGCdevWsXDhQtzd3TEzMyMqKooHDx6onFeRFg2V2YewVGl/pNatWxMaGsrWrVv5+9//zrFjx164d11lYnv6nNI4n/53rY6WHUK8zmRNqZKqq5WDNjA3N+e9995j+fLlJCQkcPDgQS5fvlzuuceOHaNXr14EBgbSvHlznJ2dy7TgeBE3NzeKioo4deqU8tilS5f4/fffKx176S7qubm52NraYm1tzeHDhyt9nepWkRYeBgYG5bZjEeJ18NrPlCrr6VYOvXr14vjx4xrxPEx1W7VqFXZ2djRr1gw9PT2SkpIwNzenbt265Z7v4uLCzp07+e6777C0tGTdunVcvXr1hbfentaoUSO6dOnCuHHjWLFiBYaGhnz88ccvLKkOCgqiffv2eHl5YWVlxW+//cacOXOwsbHB09MTHR0dIiIiiIqK4s0338THx4eHDx+Snp5epgLvVRs9ejRhYWG0aNGCv/3tb6SkpPDjjz8qO+vCky60hw4d4uLFi9SuXRsLC4syszghaiqZKVVSdbVyqIjPPvtM5QHYv5KpqSkrVqxQtmA/d+4cSUlJZdbcSk2bNo0WLVoQEBCAn58fFhYWZVpDVMS6detwcHCgd+/eBAUFMXjw4DJFHH/WvXt39uzZw6BBg/D09GTs2LHUq1ePHTt2KJsZjho1ikWLFhEbG0u7du0YOHAgGRkZlY7vZVWkhceHH36Ii4sLXbp0wcXF5YXNEIWoSWTvOw02d+5cdu/eTXp6Onp6euoOR2gh2ftOu72Oe9/JPQENtn//fpYsWSIJSVTZiQ6PamQFV03tO1RTx1UZkpQ0mCYszAshxF9J1pSEEEJoDFlTEqIGkzWlmqkmrzXJTEmoxZ/bhtSvX5/AwMBqq4jz8/Nj8uTJ1XKtF0lPT8fS0vKZDywvXLgQb2/v517jt99+IzQ0lCZNmmBtbU2zZs0IDg7mu+++exUhC6GxJCkJtenSpYty09Hk5GQeP37MkCFDXuqaRUVFKBTaNfk/deoUnTt35ueff2bJkiV89913JCQk4OHhwZQpU9QdnhB/KUlKQm2ebhvi4eHB2LFjycjI4PHjx8pzZs+ejaenp7KVxaxZs1TafZTOQrZu3YqHhwfW1taEhITw7bffsmHDBuVMrHQnim+//ZZ33nkHGxsbXF1dmT59usr2UH5+fkRERDBnzhzq169PgwYNmDFjxivbNkihUDB27FicnJzYu3cvPXv2xNnZmaZNmxIeHk5qauor+b5CaCqpvhMa4Y8//iA5OZnGjRur7OBgYmLC6tWrsbW15ZdffiE8PBxDQ0OVnbgvX77Mv//9b+Li4jA0NMTe3p4bN27g6urKrFmzAHjrrbe4du0aAwcOJDAwkE8//ZTffvuNcePGoaury/z585XX+/LLLxk1ahT79u3jzJkzjBgxAg8PDwYMGFDt4z59+jTnz59nw4YN5Zb+lz78K8TrQpKSUJun24bk5ubi4OBAYmKiyjlP375ycnIiPDycVatWqSSlgoIC1q9fr7KlkYGBASYmJirtH2JiYrCxsWHp0qXo6uri5uZGVFQUEydOJDIyUrn5rpubG5GRkcCT9hrx8fEcOnTolSSlzMxM4MmeeEIISUpCjZ5uG3L37l02btyIv78/Bw4cwMHBAYDU1FTWrl1LZmYmubm5FBcXl9ms1M7OrkJ77P3yyy+0adNGpf2Gt7c3BQUFZGZmKttS/Lm9Rt26dZ/bQPBlvMz6l/RTen2pu8+S9FMSNdKfW254eHjg6OhIXFwcM2bM4MSJEwwbNoypU6eyYMECLCws2LVrFzNnzlS5jqmpaYW+n0KheGZbjKePl9di5FUVT7i4uABP+iy1aNGiUl8r/ZReXzV51wcpdBAaQ0dHB11dXWWhw7Fjx7C1tWXKlCm0atUKFxcXrly5UqFrGRoalplRNWrUiBMnTqgULRw9ehRDQ0OVhox/pebNm9OoUSNWrlxZbruKe/fuqSEqIdRHZkpCbfLz87l58ybw5MN3w4YNPHz4EF9fXwBlr6rExETatm3LN998Q1JSUoWu7ejoyMmTJ7l8+TJmZmbUrl2b4cOHs3btWiIiIhg9ejSXLl3iH//4ByNHjizTzLEqzp07h4WFhcqx0luCeXl5nD59WuU9ExMTGjRowJo1a+jfvz/vvvsukyZNws3NjUePHnHgwAFSUlJIS0t76diE0BaSlITapKWl4ebmBkCtWrVwdXUlLi6Ojh07AtCzZ0/GjRvH9OnTycvLo2vXrnz88cdERES88NphYWGMGTOGdu3a8fjxY3788UecnJz48ssvmTVrFh07dsTCwoIBAwYoK/ReVp8+fcocy87OBp48HPvnduweHh6kpaXRunVr0tLSWLp0KeHh4dy6dQsbGxtatWpFdHR0tcQmhLaQbYaEqMFkm6GaqSZvMyQzJSFqMGldoV1q6rgqQwodhBBCaAxJSkIIITSGJCUhhBAaQ5KSEEIIjSFJSQghhMaQknAhhBAaQ2ZKQgghNIYkJSGEEBpDkpIQQgiNIUlJCCGExpCkJIQQQmNIUhJCCKExJCkJoUWKioooLCxUdxhCvDKyS7gQWuLnn3/mk08+4caNGzg7O9OtWzcGDBig7rCEqFby8KwQWuDixYt069YNX19fnJ2dSUtLIzc3lxYtWrBmzRp1h/dSbt26pWyG6ODggJWVFQAKhQIdHR11hvZSLl++zKlTp7hx4wbvvvsub775Jubm5lo/rldNkpIQGk6hUDB//nwyMjL47LPPAHj06BHx8fF89tlnuLu7s2nTJjVHWTU//fQTgYGBmJubk5GRQbt27ejXrx8jR44EtDcx/fTTT/Tv3x97e3uuXbtGcXEx/v7+DBs2DHd3d60d119B1pSE0HA6Ojpcu3aNmzdvKo+ZmJgQEhLCRx99REZGBnPmzFFjhFVz+/Zt3n//ffr06cOXX35JUlIS7u7uzJs3j3nz5gFPxq5QaNfvzffv32fixIkMGjSIHTt2kJGRwYQJE/jpp5+IjIzkzJkzkpCeQ5KSEBqs9AO5RYsWFBUVce7cOeV7JiYm+Pv707lzZ9LS0rh165a6wqyS7OxsjI2NGTVqFPb29nTu3JnJkyczZcoUVq1aRXR0NIDWfYDn5+dz48YNPD09MTc3ByAsLIyRI0dSUFDA4sWLuXTpknqD1GCSlITQYKUfyD4+Ply6dImVK1dy79495fsWFhaEhYVx6tQpjh8/rq4wq0RfX5/ffvuNjIwM5TFra2uCgoKYOnUqmzdvZs+ePWqMsOpq1arF9evXASguLgbgvffeIygoiIsXL3Lw4EEASkpK1BajppKkJIQWcHZ2JjY2lpSUFObMmcPvv/+ufM/AwIBmzZopfyvXFlZWVnh5ebFz506uXbumPG5paUlAQAAODg6cOnVKjRFWjbW1NU2aNGHdunVkZ2ejp6enTEyDBw+mdevWbNiwAQBdXfkI/jP5iQihJTp16kRcXBxbt25l/PjxbNu2jZ9++omVK1cqy8Q12f3791XWxmxsbBgwYADJyckkJCSQk5OjPNfJyQlnZ2eOHTum/EDXVLdu3eLUqVPKSjuAlStXYmxszAcffMDdu3fR09NTnt+xY0eMjIx4/PixukLWaPKckhBapGfPnuzdu5cZM2Ywb9489PX1MTAw4Msvv8TBwUHd4T3T2bNnGT9+PLdu3cLMzIwGDRqwatUqgoODycnJYe7cuRQUFDBw4EAaNGgAQGFhIfXr19foNaXyqgd79+7N6NGjiY2NVRZyrFq1ChcXF8zNzTl+/DgmJibqDl1jSUm4EFrowYMH3L17l9zcXGxsbHjzzTfVHdIzZWVl0b17dwYNGkT79u3Jzs5mw4YN5OfnExsbi4eHB2vWrGHdunXY2dnh4OCAjo4Oe/fuZe/evTRu3FjdQyjX7du3eeedd+jVqxehoaFcvHiRr7/+mi+++IJRo0YRGRnJlStXGDZsGFevXsXc3Bw7Ozu+//57du7cSbNmzdQ9BI0kMyUhtJC5ubnWrCGdPn0aGxsbwsPDsbS0BKBv376EhIQwZMgQUlNT+fvf/46rqyunT5/m6NGj1K9fX6MTEpStHrS3t8fd3R0nJyfmzJmDoaEhkydPZv/+/WzZsoXr169jaGhIdHQ0Li4u6g5fY0lSEkK8Ujdv3uTKlSvKhFRUVISVlRXbtm3D39+foUOHkp6ejo+PDz4+PigUChQKhcYXATxdPVivXj3gSZHDkCFDKCgoIDY2Fnd3d3r37s2QIUPUG6wW0ex/dSGE1ip9xsrHxwcjIyPlc0f6+voUFxdjbm7OihUruH//PvHx8cCTEmkdHR2NT0jw4urBt99+mzNnzgD/+1lo24PA6qD5//JCCK2Sl5cHoNzN3NLSEn9/f/bv38+2bdsAlNVozs7O1KpVi6tXrwKaXSL9MtWDpcUamly0oSnk9p0QotqcP3+e2bNn8/DhQ4qLixk/fjy+vr6EhoYSHh5OfHw8+fn5hISEAGBqaoq9vT2GhoaA5u51V1OrBzWRVN8JIapFZmYmXbp0ISAgAGtray5dukRSUhIjRoxg8uTJPHr0iFmzZnHu3DmaNGlC165dOXnyJElJSfznP/9RfphrmppaPaipJCkJIarFggULOH78ONu3b1cei4+PZ/Hixbz77rvMnj2b/Px8du/eTUxMDLq6utSqVYv58+drdHn0119/zSeffMJXX32lLNa4desWISEhZGVlkZqaiouLC/v27VOpHvzwww8lIVWB3L4TQlSLR48eUVRUhEKhoLi4GH19fUJCQtDX1ycyMhIHBwfCw8MJDg4mODiY/Px8FAoFb7zxhrpDf66aWj2oqeSnJoSoFm+//TY//PADV69eRV9fn4KCAgCCgoKYOHEiixcvJjMzU3m+kZGRRiekml49qKnkJyeEqBbDhg2jWbNmDBkyhDt37mBoaKisxBs6dChWVlacOHFCzVG+WE2tHtQW8hMUQlTahQsX+Pjjjxk2bBjLly/nhx9+wMDAgOnTpwMQHBzM3bt3VWZCZmZmGBsbqyvkCjl//jwhISH4+fnRt29fdu/ejZmZGaGhodSuXZv4+HjlrAjKrx4UL0dv2rRps9UdhBBCe/z888/06NEDU1NTjI2NSUxM5OTJk+Tl5eHv74+trS0HDx5kzZo1ODs7c+XKFZKSkjh69ChTp07FwsJC3UMoV2ZmJt27d8fLywt3d3cA5s+fz927d+ncuTNdu3blxIkT7Nq1i6NHj/LgwQNiY2PZt28fixYtok6dOlL+XQ2k+k4IUWGFhYWEhYVhYGDAqlWrALh8+TJLly7l5MmTDBo0iLCwMDIyMoiOjubgwYNYWFjwxhtv8Omnn+Lh4aHmETxbTa0e1DZSfSeEqDADAwNu3ryJnZ0d8OR2lZOTE9OnT2fZsmUkJydjb2+Pv78/GzZsICMjg1q1amFkZESdOnXUHP3z1dTqQW0ja0pCiBcqbbSXn5+PnZ0dOTk55ObmAk8qzmxtbQkLC8PS0pIvvvhC+XWurq7Y2tpqfEKCmlc9qK0kKQkhnuuHH36gd+/e5ObmYmRkxODBg9m3bx+xsbHK8ueSkhIcHR2JjIxUPkQK2rXXW02pHtR2kpSEEM905swZ/Pz8aNWqFaampigUCjp06EBUVBSzZs0iJiYG+F8ptKmpKW5ubhrfWbWmVg/WBFJ9J4Qo19mzZ/H19WX48OHMmzcPeDLzycvLo3379hgZGTFjxgxyc3MxNzfH0NCQuLg4zp49y4gRIzA1NVXzCMpXU6sHawqpvhNClHHz5k06depEkyZNSE5Opri4mOnTp/Prr7/y66+/EhQURI8ePbh69SoRERGUlJRgYWFBbm4uCQkJtGjRQt1DKFdNrh6sKaT6TghRrjZt2nD58mW++uor4uPjKSoqonXr1jRq1Ih///vfnD17ltWrV7N//36ysrIoKCjAzc1NWZmniWpy9WBNITMlIUS5bty4QVRUFNu3b+dvf/sbMTExyg/mHTt2MH78eJYsWUJAQICaI62Y4uJiSkpKmDBhAjk5OWzcuBETExPl5qlZWVmMHz8eQ0NDZQWhpvZ3qslkTUkIUS4zMzM8PT3R09Nj0KBBuLu7KzccdXNzIyEhAT09PXx8fNQd6nMVFRWhq6uLrq4uenp6WFhYMH/+fCwtLfHy8kJHR4eSkhIsLS1p0KABs2fPplevXtjY2EhCUgOpvhNCPJOtrS0TJkzA29sbeFJlp1AouHfvHnXq1NHYtaNSFy9eZPHixfz666/KYx06dGD27NnMmjWLTZs2AdpXPViTyZqSEOK5zM3NVV7r6OiwZs0abt68SceOHdUU1YtlZmby7rvvkpOTw/379xk7dixOTk4ADB8+nEePHhEREUFWVhZ9+vTBycmJxMRE8vLyyoxZ/HVkTUkIUWFJSUkcOXKElJQUUlNTNXamlJuby7Rp0ygsLMTLy4vIyEjef/99wsLClImppKSExMREoqKiUCgUWlE9+DqQmZIQosLc3NxITExk9+7dyp20NZGuri7Nmzendu3aDBgwACsrKz766CMAQkNDqVevHrq6ugwaNAhvb2+ys7PJy8vD3d1do6sHXwcyUxJCVEpBQYGyf5Amy83NVXmAd8eOHYwePZrBgwczbtw4nJycKCoq4vr167z99ttqjFQ8TWZKQohK0YaEBCgTUnFxMbq6uvTt2xeFQsGYMWPQ0dFhzJgxbNq0iaysLNatW4eJiYlU22kAmSkJIWo8hUKhfB5px44dhIaGUqdOHbKzszl48CDNmzdXd4ji/5OScCFEjVe6m7lCoaBv3760bt2a+/fvc/jwYUlIGkZu3wkhXhslJSXMnDmTtLQ00tPTady4sbpDEn8iMyUhxGulUaNGHDp0iKZNm6o7FFEOWVMSQrxWZD87zSYzJSHEa0USkmaTpCSEEEJjSFISQgihMSQpCSGE0BiSlIQQQmgMSUpCCI3VsGFDJk6cqO4wxF9IkpIQrzlLS8sK/dm6dWulrvvpp58q24q/at27d1eJtW7dunTo0IF//etfKBTy1Is2kR0dhHjNrV+/XuV1XFwc33//PatXr1Y57uXlVanrrl27loYNGxIYGPjSMVaEg4MDM2fOBOD27dt88cUXTJkyhbt37zJ16tS/JAbx8iQpCfGa+3PSSEtL4//+7//+smRSXSwtLVViHjp0KK1bt2bdunVMmTJFnk/SEnL7TghRKbm5ucyYMYOmTZtibW2Nh4cHixYtorCwUHlOw4YNuXLlCt98843yllqbNm0AePz4MfPmzaNTp044Ojpia2tLjx492L9/f7XGaWpqSosWLbh79y73799XeS8vL4+FCxfSqlUrrK2txbmC7AAABxJJREFUadSoEZMnT+bBgwfKc/r160fr1q3LvXa/fv1o1aqVyrH9+/fTs2dP7O3tsbe3p1+/fpw8eVLlnNmzZ2NpaUlWVhahoaE4OTnh4ODA8OHDuXfvnkp8lpaWLF++vMz37t69OwEBAZUej7aQmZIQosJKSkoYNGgQ6enpBAUF0bJlS44cOcKiRYu4cOECMTExAERHRxMeHk7dunUZN24cAObm5gDk5OSwefNm+vfvT3BwMI8fPyYhIYHAwEBSU1Pp2LFjtcV75coV9PX1MTMzUx4rLi4mMDCQEydOEBwcTKNGjZSxnzlzhp07d6Knp0dAQADjxo3jhx9+wMPDQ/n1v//+O0eOHFEpwNiyZQthYWF069aNmTNnUlhYyObNm/Hz82Pv3r1l2qsHBwdjb2/PzJkz+eWXX4iJieGNN95gzZo1lR5jRcejLSQpCSEq7KuvviI9PZ0ZM2YwadIkAEaMGEF4eDibNm1ixIgReHt7069fP2bMmEHdunXL3Aa0sbHhzJkzKs0CR4wYQfv27Vm9enWVk1JJSQl37twB4M6dO2zatIlz587h7++Pvv7/Puo+//xz0tPT2bVrF+3atVMe9/LyIjg4mK+++or+/fvTt29fJk2aRFJSkkpS2r59O8XFxcrZyv3795k+fTpDhw5VmdkMHToULy8v5s+fT2JiokqszZo1Y9WqVcrXRUVFbNmyhSVLlmBsbFypcVd0PNpCbt8JISpsz549GBgYMHr0aJXjpbOhffv2vfAa+vr6yoSUn59PTk4Ojx49wtvbmx9//LHKsZ07dw4XFxdcXFxo27Yt69atIyAggBUrVqict337dtzd3XF1deXOnTvKP97e3hgaGnL48GHgyRpV165dSUlJUangS0lJoXHjxri7uwNw4MAB/vjjDwYOHKhyvYKCAjp06EB6enqZCsDhw4ervG7fvj2FhYVcu3at0uOu6Hi0hcyUhBAVlpWVhZ2dncrtMIB69ephbGxMVlZWha4TExPD+vXruXDhgsoHdmVnCU9zdnZm+fLllJSUcPHiRZYuXcr169cxMDBQOe/ixYtcvnwZFxeXcq9z69Yt5d8DAgLYu3cvx48fx8vLi6tXr3Ls2DEiIyNVrgfQq1evZ8b28OFDatWqpXzt6Oio8r6lpSUAd+/ereBoqzYebSBJSQjxl9qyZQsRERH06dOH8PBwrKys0NPTIzY2lj179lT5uqampnTp0gWAbt260bZtW7p168aiRYv4xz/+oTyvpKSEZs2aMXfu3HKv89Zbbyn/3qtXL0xMTEhKSsLLy4vk5GQUCoVKoUFJSQkAGzduVPnap/052erqln+TqjRBP69SsLi4WOV1ZcajDSQpCSEqzNHRkePHj/Pw4UOV2dLly5d5/PixygzgWR+sKSkpuLm5sXnzZpXjpUUS1cXDw4MBAwawfv16Ro8eja2tLfBkRpWZmUnnzp1fWCZuZmaGj48PqampLFq0iOTkZFq2bImzs7PynNK/W1lZ0blz52qJ3cjICBMTkzJVg/BktlqnTh2V71/R8WgDWVMSQlSYr68vhYWF/Otf/1I5Xrpo7+PjozxmamqqUuZcqrQS7OnbdhcuXGDv3r3VHu+4cePIy8tTqWoLCAggOzub+Pj4MucXFhaWSQQBAQHcvHmTLVu2cOrUKfz9/VXe9/X1xczMjMWLF6uUxZe6fft2lWKvV68eR44cUTmWnJysLOao6ng0ncyUhBAV1qdPHzp27MjcuXO5dOkSzZs359tvvyUlJQV/f3+8vb2V53p4eJCYmEh0dDT169enVq1a+Pj40LNnTyZOnMiQIUPo0aMH2dnZxMTE0LBhQy5cuFCt8TZt2pSuXbsSFxdHREQEtWvXZsiQIXz99ddMmDCBQ4cO0a5dOxQKBZmZmaSmprJ06VJ69+6tvIaPjw/m5uZERkaio6PDe++9p/I9LC0tWbp0KWPGjKFjx44EBARgbW1NdnY2hw8f5q233qr0Fk0AH374IZMnTyY4OJiuXbty/vx5UlNTy6xHVXY8mk6SkhCiwnR1ddm2bRsLFixg+/btJCQkYGdnx9SpU5Ul4qVmzpzJnTt3WLlyJX/88Qeurq74+PgwdOhQcnJyiIuL48CBA7i4uLB06VJOnz5d7UkJICwsDH9/f9avX8+0adPQ09MjISGBtWvXkpCQwK5duzAyMsLR0ZGgoCDlQ76ljIyM8PPzIyEhAW9vbxwcHMp8j8DAQBwcHFi+fDmrV68mPz8fGxsb2rRpQ0hISJXiHjZsGNnZ2WzdupV9+/bh6elJUlISEyZMUDmvsuPRdDr37t2T3QqFEEJoBFlTEkIIoTEkKQkhhNAYkpSEEEJoDElKQgghNIYkJSGEEBpDkpIQQgiNIUlJCCGExpCkJIQQQmNIUhJCCKExJCkJIYTQGP8Pd7XkYftiY3gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.barh(group_names, group_data)\n",
    "labels = ax.get_xticklabels()\n",
    "plt.setp(labels, rotation=45, horizontalalignment='right')\n",
    "ax.set(xlim=[-10000, 140000], xlabel='Total Revenue', ylabel='Company',\n",
    "       title='Company Revenue')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also adjust the size of this plot using the :func:`pyplot.subplots`\n",
    "function. We can do this with the ``figsize`` kwarg.\n",
    "\n",
    "<div class=\"alert alert-info\"><h4>Note</h4><p>While indexing in NumPy follows the form (row, column), the figsize\n",
    "   kwarg follows the form (width, height). This follows conventions in\n",
    "   visualization, which unfortunately are different from those of linear\n",
    "   algebra.</p></div>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0,0.5,'Company'),\n",
       " (-10000, 140000),\n",
       " Text(0.5,0,'Total Revenue'),\n",
       " Text(0.5,1,'Company Revenue')]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\pcApp\\Anaconda3\\lib\\site-packages\\matplotlib\\figure.py:2267: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not compatible \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 4))\n",
    "ax.barh(group_names, group_data)\n",
    "labels = ax.get_xticklabels()\n",
    "plt.setp(labels, rotation=45, horizontalalignment='right')\n",
    "ax.set(xlim=[-10000, 140000], xlabel='Total Revenue', ylabel='Company',\n",
    "       title='Company Revenue')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For labels, we can specify custom formatting guidelines in the form of\n",
    "functions by using the :class:`ticker.FuncFormatter` class. Below we'll\n",
    "define a function that takes an integer as input, and returns a string\n",
    "as an output.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def currency(x, pos):\n",
    "    \"\"\"The two args are the value and tick position\"\"\"\n",
    "    if x >= 1e6:\n",
    "        s = '${:1.1f}M'.format(x*1e-6)\n",
    "    else:\n",
    "        s = '${:1.0f}K'.format(x*1e-3)\n",
    "    return s\n",
    "\n",
    "formatter = FuncFormatter(currency)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then apply this formatter to the labels on our plot. To do this,\n",
    "we'll use the ``xaxis`` attribute of our axis. This lets you perform\n",
    "actions on a specific axis on our plot.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\pcApp\\Anaconda3\\lib\\site-packages\\matplotlib\\figure.py:2267: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not compatible \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 8))\n",
    "ax.barh(group_names, group_data)\n",
    "labels = ax.get_xticklabels()\n",
    "plt.setp(labels, rotation=45, horizontalalignment='right')\n",
    "\n",
    "ax.set(xlim=[-10000, 140000], xlabel='Total Revenue', ylabel='Company',\n",
    "       title='Company Revenue')\n",
    "ax.xaxis.set_major_formatter(formatter)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Combining multiple visualizations\n",
    "=================================\n",
    "\n",
    "It is possible to draw multiple plot elements on the same instance of\n",
    ":class:`axes.Axes`. To do this we simply need to call another one of\n",
    "the plot methods on that axes object.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\pcApp\\Anaconda3\\lib\\site-packages\\matplotlib\\figure.py:2267: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not compatible \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "ax.barh(group_names, group_data)\n",
    "labels = ax.get_xticklabels()\n",
    "plt.setp(labels, rotation=45, horizontalalignment='right')\n",
    "\n",
    "# Add a vertical line, here we set the style in the function call\n",
    "ax.axvline(group_mean, ls='--', color='r')\n",
    "\n",
    "# Annotate new companies\n",
    "for group in [3, 5, 8]:\n",
    "    ax.text(145000, group, \"New Company\", fontsize=10,\n",
    "            verticalalignment=\"center\")\n",
    "\n",
    "# Now we'll move our title up since it's getting a little cramped\n",
    "ax.title.set(y=1.05)\n",
    "\n",
    "ax.set(xlim=[-10000, 140000], xlabel='Total Revenue', ylabel='Company',\n",
    "       title='Company Revenue')\n",
    "ax.xaxis.set_major_formatter(formatter)\n",
    "ax.set_xticks([0, 25e3, 50e3, 75e3, 100e3, 125e3])\n",
    "fig.subplots_adjust(right=.1)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Saving our plot\n",
    "===============\n",
    "\n",
    "Now that we're happy with the outcome of our plot, we want to save it to\n",
    "disk. There are many file formats we can save to in Matplotlib. To see\n",
    "a list of available options, use:\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'ps': 'Postscript', 'eps': 'Encapsulated Postscript', 'pdf': 'Portable Document Format', 'pgf': 'PGF code for LaTeX', 'png': 'Portable Network Graphics', 'raw': 'Raw RGBA bitmap', 'rgba': 'Raw RGBA bitmap', 'svg': 'Scalable Vector Graphics', 'svgz': 'Scalable Vector Graphics', 'jpg': 'Joint Photographic Experts Group', 'jpeg': 'Joint Photographic Experts Group', 'tif': 'Tagged Image File Format', 'tiff': 'Tagged Image File Format'}\n"
     ]
    }
   ],
   "source": [
    "print(fig.canvas.get_supported_filetypes())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then use the :meth:`figure.Figure.savefig` in order to save the figure\n",
    "to disk. Note that there are several useful flags we'll show below:\n",
    "\n",
    "* ``transparent=True`` makes the background of the saved figure transparent\n",
    "  if the format supports it.\n",
    "* ``dpi=80`` controls the resolution (dots per square inch) of the output.\n",
    "* ``bbox_inches=\"tight\"`` fits the bounds of the figure to our plot.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Uncomment this line to save the figure.\n",
    "# fig.savefig('sales.png', transparent=False, dpi=80, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
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